To improve the process of user information retrieval, we propose the concept of a latent semantic map (LSM), along with a method of generating this map. The novel aspect of the LS...
The present study demonstrates how the emotional content of search terms and their eventual results affects the breadth of a users' search for information. We observed the qu...
Background: We present a probabilistic topic-based model for content similarity called pmra that underlies the related article search feature in PubMed. Whether or not a document ...
Large-scale information processing environments must rapidly search through massive streams of raw data to locate useful information. These data streams contain textual and numeri...
Ian Gorton, Justin Almquist, Nick Cramer, Jereme H...
Geography is becoming increasingly important in web search. Search engines can often return better results to users by analyzing features such as user location or geographic terms...
Qingqing Gan, Josh Attenberg, Alexander Markowetz,...